Chris(t)ensor

Building on bittensor - sn91 (@cascade_sn91)

[Chris(t)ensor @tensorlink_dev]

@Hippius_cloud @Hippius_cloud works fantastic for model storage we use for all model checkpoints on cascade @cascade_sn91

[Chris(t)ensor @tensorlink_dev]

@KJ__Morris Too true I love this!

[Chris(t)ensor @tensorlink_dev]

@harro_sc Tis hard to get balance right!

[Chris(t)ensor @tensorlink_dev]

@cascade_sn91 @numinous_ai @DecisionModels

[NDubbs @TheNDubbs]

@TaoOutsider I've been using it for a few weeks as well.

Same with REAX + Numinous.

[Tao Outsider | Bittensor @TaoOutsider]

I’ve been running an autonomous agent trading on forecasts from Ephemeris, Cascade SN91.

Started a few days ago with 5 τ. It’s now at 5.1384 τ. That’s +0.1384 τ, or +2.77%.

The thesis is if a subnet’s forecasts are good enough that an agent trading them stays green in a week that was rough for a lot of other subnets, the product is doing what it said it would. $TAO

Bittensor pays for useful work in public. This week, the work paid.

Let’s keep analyzing this for a while longer and see how the results play out.

I’ll bring another update next Sunday.

@subnetradar, @taodaily_io, @gordonfrayne, @MarkCreaser @markjeffrey this is worth a closer look, @cascade_sn91 is shipping real stuff.

[Chris(t)ensor @tensorlink_dev]

@peytonspencer Yeah boi

[Chris(t)ensor @tensorlink_dev]

@SomaSubnet Noice

[Chris(t)ensor @tensorlink_dev]

@oroagents Hey guys reach out - might have some useful tools for this

[Chris(t)ensor @tensorlink_dev]

@numinous_ai is producing data that will give true edge in prediction markets, trading and beyond. This is a positive feedback loop - we help build better graphs they help train better TSFMs

[SN91, Cascade @cascade_sn91]

Track how the world changes. Predict how it evolves.

We’ve partnered with @numinous_ai to combine knowledge graphs with time-series forecasting.

Numinous maps relationships between companies and events, and predicts how those relationships may change. Cascade brings forecasting models to assist in flagging future activity, pointing agents towards worthy developments.

In turn, Numinous’s graph will help us develop synthetic training data for our mixture-of-experts model, capturing how changes at one company can ripple through connected businesses.

Together, we’re working towards better forecasts of both changing relationships and the numerical trends they influence.

[SN91, Cascade @cascade_sn91]

Eager to see the #USElection midterm results?

We’ve used state-of-the-art AI models to forecast the outcome.

With Ephemeris, our forecasting inference product, we’ve projected the Senate results:

Via zero-shot forecasts, our model tells us the Democrats are leaning to 53 seats.

Leans D: Kansas +4.6, Ohio +3.9, Maine +3.8, Texas +2.8, Alaska +0.8

Leans R: Iowa +0.8, South Carolina +1.0

Coin flip: Louisiana

We'll score them tonight.

[Chris(t)ensor @tensorlink_dev]

@harro_sc Yeah, it should be part of their training to do internships with actual SMEs to see all the compliance you must consider and hats to wear

[REAX @reaxlabs]

SN91, Cascade:
"We connected Ephemeris, our time-series forecasting API, with Decision Models (powered by @reaxlabs) to build a system that tackles this. Ephemeris forecasts how market conditions may develop."

[SN91, Cascade @cascade_sn91]

Cascade Mixture-of-Experts competition is live.

Submissions are currently open.

Join us in training a 1.23B time-series foundation model, comparing against @MistralAI’s Timestral-209M - the current state-of-the-art.

Get your supported compute from @lium_io, @shadeformai, @vast_ai, and @runpod

[Chris(t)ensor @tensorlink_dev]

@0xDaniBi @subnetradarcom @umi_sn78 We shipped a massive upgrade this week so it is legit for @cascade_sn91

[SN91, Cascade @cascade_sn91]

“How many credits will this cost?”

Forecast your AI credit usage with @cascade_sn91 - directly inside @heydittoai.

Get spending estimates based on Ditto’s historical data about you, accessing time series inference via Ephemeris, to predict how much you’ll use in the future.

You can even forecast how many credits will be used for a particular task. Give Ditto the details, and it’ll run your history through Ephemeris, and output meaningful predictions.

https://t.co/oGxWHGZRrt

[SN91, Cascade @cascade_sn91]

https://t.co/Wd2FB4eGxh

[𝘛𝘦𝘯𝘴𝘰𝘳𝘍𝘭𝘰𝘸 ττ @Tensor_Flow_]

The Bittensor community is as strong as ever and gets stronger by the day.
Along my journey I've found many great people and @tensorlink_dev from @cascade_sn91 is one of those great people.

Massive thanks to Chris he has saved us weeks of guesswork.

We run Cascade's synthetic time-series generator as a research substrate. The Alphacast feed sits alongside it as forecasting infrastructure. Both have become core pieces of our engineering stack.

Research-stage, and one live deployment which we constantly update,the capability jump has been huge. I can't go into to much detail but I can say this,without the Cascade tech we wouldn't really have an edge. Not only is the tech been built on SN91 brilliant it's highly versatile. It's like giving an acromat artist color vision which really broadens your horizons Cascade is a truly remarkable technology.

gScade🫡

Get the MCP: https://t.co/g4EKNWj8Dy

Join the Telegram: https://t.co/XJc4TLHzmE

[Chris(t)ensor @tensorlink_dev]

@peytonspencer @steipete Get it to 40k by end of year pls ser